Kwame Omono Asamoah
Postdoctoral Research Fellow
ZJNU
About Me
I am a postdoctoral research fellow at Zhejiang Normal University (ZJNU) in China. My primary focus is big data security, blockchain technology and deep learning applied to computer vision. At present, my endeavors encompass two main thrusts: the development of a blockchain-centered methodology to ensure the impervious storage and exchange of educational data and the application of deep learning techniques to classify the ancestral symbols indigenous to the Ashanti Region of Ghana.
Preceding this role, I attained my Ph.D. in Computer Science and Technology from the University of Electronic Science and Technology of China in 2022 under the supervision of Professor Qi Xia. Complementing this, I acquired my MSc. in the same discipline from the above-mentioned university in 2018, once again benefiting from the mentorship of Professor Qi Xia.
News
2023-08: Our manuscript "A Blockchain Peer-to-peer Energy Trading System for Microgrids" has been published in the IEEE Transactions on Smart Grid journal.
2023-06: Our paper "A Probabilistic Reliable Linguistic PROBID method for Selecting Electronic Mental Health Platforms Considering Uses' Bounded Rationality" has been accepted for publication in Engineering Applications of Artificial Intelligence.
2023-03: Our paper "A Blockchain-Based Crowdsourcing Loan Platform for Funding Higher Education in Developing Countries" has been published in IEEE Access.
2023-03: Our manuscript "GUDN: A Novel Guide Network with Label Reinforcement Strategy for Extreme Multi-Label Text Classification" has been accepted for publication in Journal King Saud University - Computer and Information Sciences.